• Journal of Korean Library and Information Science Society
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• v.20
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• pp.31-60
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• 1993

The purpose of this study is to analyze quantitatively the use of statistics, especially inferential statistics, in library and information science. Thus this study compared the use of statistics in library and information science with it in social work and education. The results of this study are as follows: First, the result is that, when the proportions of articles in each of the three categories of use are compared, library and information science is deficient in the use of inferential statistics and unusually productive of articles in 'No Statistics' category and 'Descriptive Statistics Only' category. Second, ANOVA showed no significant difference in the means for number of articles with no statistics and for articles with descriptive statistics only, but did show a statistically significant difference for the means for number of articles with inferential statistics. That is, the use of inferential statistics in library and information science was very less than the other subject areas. Third, a comparison of the numbers of various inferential statistics for each of the three subject areas indicated that the differences were not significant. This fact means that the quality of inferential statistics used in library and information science was similar to the other subjects.

• School Mathematics
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• v.3 no.1
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• pp.109-129
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• 2001

The concern of this paper is to provide learning opportunities to participate in the class of statistics with interest for the students who dislike mathematics and especially find difficulty in understanding statistics. The students were encouraged to arrange data collected in their daily life by the use of spreadsheet program and to interpret the result of data with graphs, so that they could have a great interest in statistics and make steady progress in their voluntary study. The further study to use computers in teaching mathematics should be continued and recommended in the rapid age of information and knowledge-based.

• Journal of Hospice and Palliative Care
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• v.13 no.1
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• pp.1-6
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• 2010

The purpose of clinical trials is to find evidences for the effects of experimental new drugs or treatments on human. For the successful clinical trials, it is not sufficient to use statistics only for the analyses of collected data, but it is necessary to extend the usage of statistics in various ways. At the beginning of the study, one needs to use statistics for systematically and concretly planning the study. For this, we discussed the usage of statistics in defining the effect, determining the sample size, statistical analyses, and so on.

• Communications for Statistical Applications and Methods
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• v.10 no.3
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• pp.859-871
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• 2003

In this paper we introduce some adaptive M-estimators using selector statistics to estimate the slope of regression model under the symmetric and continuous underlying error distributions. This selector statistics is based on the residuals after the preliminary fit L$_1$ (least absolute estimator) and the idea of Hogg(1983) and Hogg et. al. (1988) who used averages of some order statistics to discriminate underlying symmetric distributions in the location model. If we use L$_1$ as a preliminary fit to get residuals, we find the asymptotic distribution of sample quantiles of residual are slightly different from that of sample quantiles in the location model. If we use the functions of sample quantiles of residuals as selector statistics, we find the suitable quantile points of residual based on maximizing the asymptotic distance index to discriminate distributions under consideration. In Monte Carlo study, this adaptive M-estimation method using selector statistics works pretty good in wide range of underlying error distributions.

• 한국데이터정보과학회:학술대회논문집
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• 2006.04a
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• pp.155-161
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• 2006

To enhance the interest and comprehension of learners studying Statistics. The program which learners can use is needed. With the help of this program, the interest and concentration of the learners can be enhanced, and the effects of the study of Statistics can be maximized, through the convenience of calculation to the theoretical contents of Statistics, various graphs, the, simulation.

• Journal of Information Management
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• v.41 no.4
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• pp.69-91
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• 2010

Libraries are encountering hostile conditions around journal licensing such as limited budget, the high price of packages, and vendor-led negotiation. They need to collect and analyze usage data of electronic journals to develop electronic journal collection appropriate for their own circumstances. The purpose of this study is to suggest an practical guideline for librarians' analysis of electronic journal usage statistics. For this, the study reviewed related previous studies and examined current state on usage statistics provided from COUNTER release 3 compliant vendors. Finally this study proposed five core statistics including full-text article request per journal, journal using rate, price per full-text article request, most use group, and low use group, and further discussed how to use them effectively for the electronic journal management.

• Honam Mathematical Journal
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• v.31 no.4
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• pp.541-558
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• 2009

Anecdotes can produce an emotional and simple response that decreases stress and anxiety in a classroom. The use of anecdotes in building concepts of statistics can support an effective way of teaching and learning statistics. Particularly, we demonstrate several anecdotes including pictures as the medium of image that are designed to motivate statistical ideas by placing them at the beginning of a lecture and by appealing to prospective teachers weighed down. Our purpose is that under the constructivist view, prospective teachers have an opportunity effectively to teach statistical concepts using humorous anecdotes and to experience significant beliefs on identifying some frequent misconceptions in statistics. At this procedure, the anecdotal teaching practice is concerned with describing and evaluating many humorous anecdotes we have found useful in teaching introductory statistics. We hope that this paper can be helpful to prospective teachers who will teach students such topics as descriptive statistics, sampling, and hypothesis testing.

• Communications for Statistical Applications and Methods
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• v.9 no.2
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• pp.325-335
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• 2002

In this paper we introduce some adaptive M-estimators using selector statistics to estimate the center of symmetric and continuous underlying distributions. This selector statistics is based on the idea of Hogg(1983) and Hogg et. al. (1988) who used averages of some order statistics to discriminate underlying distributions. In this paper, we use the functions of sample quantiles as selector statistics and determine the suitable quantile points based on maximizing the distance index to discriminate distributions under consideration. In Monte Carlo study, this robust estimation method works pretty good in wide range of underlying distributions.

• International Journal of Reliability and Applications
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• v.1 no.2
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• pp.155-165
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• 2000

In this paper, we propose some estimators of Kullback- Leibler Information functions using the data from three step stress accelerated life tests. This acceleration model is assumed to be a tampered random variable model. Some asymptotic properties of proposed estimators are proved. Simulations are performed for comparing the small sample properties of the proposed estimators under use condition of accelerated life test.

• Communications for Statistical Applications and Methods
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• v.10 no.2
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• pp.433-443
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• 2003

In this study, we provide a comparison of multivariate Q-techniques in the up-to-date versions of SAS, SPSS, Minitab and S-plus well known to those who study statistics. We can analyze data through the direct Input method(command) in SAS and use of menu method in SPSS, Minitab and S-plus. The analysis performance method is chosen by the high frequency of use. Widely we compare with each Q-techniques form according to input data, input option, statistical chart and statistical output.